Radio waves are attenuated by atmospheric phenomena such as snow, rain, dust, clouds,
and ice, which absorb radio signals. Signal attenuation becomes more severe at extremely …

Satellite communication is a promising transmission technique to implement 5G and beyond
networks. Attenuation due to rain begins at a frequency of 10 GHz in temperate regions …

Atmospheric processes from which rainfall is formed are complex and cannot be accurately
predicted using mathematical or statistical models. In this paper, the backpropagation neural …

Rain monitoring through signal attenuation has been a significant concern for the scientific
community over the last decade. The lowest L‐, S‐and C‐bands in the microwave spectrum …

Millimeter and microwave system design at higher frequencies require as input a 1-min rain-
rate cumulative distribution function for estimating the level of degradation that can be …

A new physically based methodology for the derivation of the complementary cumulative
distribution function (CCDF) of point rain rate with 1-minute integration time, P (R) 1, from a …

This paper presents MORSE (MOdel for Rainfall Statistics Estimation), a unified model for
the prediction of spatial (PS (R)) and temporal (PT (R)) high-resolution rainfall rate statistics …

The knowledge of adequate rainfall statistics will contribute greatly to the roll-out of
emerging wireless technologies on the platform of Long-Term Evolution (LTE) and WiMax …

To meet the rising demand for uninterrupted high-speed broadband internet services, the
deployment of high-frequency bands for the transmission of radio signals is inevitable …

In this paper, we present a model for rainfall rate prediction 30 seconds ahead of time using
an artificial neural network. The resultant predicted rainfall rate can then be used in …